Tech stack suggestions: Cryptocurrency Challenge

As asked by the organizers of the Datathon here are some suggestions about possible tech stack I found useful for time series analysis, which can be applied for the Cryptocurrency Challenge like libraries/articles/blogs about Moving Average and its variations, Kalman Filter, Fourier and Hilbert Decomposition, LSTM Recurrent Neural Network and others.

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First of all I would suggest the library TA-Lib (Python interface to the C++ implementation)